A distinguishing feature of the Stanford NLP Group is our
effective combination of sophisticated and deep linguistic
modeling and data analysis with innovative probabilistic
and machine learning approaches to NLP. Our research has
resulted in state-of-the-art technology for robust,
broad-coverage natural-language processing in many
languages. These technologies include our competition-winning
coreference resolution system;
a state-of-the-art part-of-speech tagger;
a high performance probabilistic
parser; a competition-winning biological named entity
recognition system; and algorithms for processing Arabic,
Chinese, and German text.